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Vetted Automation Professionals

Pre-screened and vetted.

AutomationPythonAWSCI/CDSQLDocker
SM

Suneeth Mulienty

Screened

Mid-level Robotics Engineer specializing in ROS 2, control systems, and manipulation

New Jersey, USA4y exp
Stevens Institute of TechnologyStevens Institute of Technology

“Robotics software engineer with hands-on ROS2 experience across manipulation, SLAM/localization, and sensor fusion. Recently built an end-to-end hybrid force-position control system for a Ufactory xArm7 with a 6-axis force/torque sensor to enable compliant, force-guided shaft insertion, including real-time Jacobian computation, TF pipeline, and MoveIt2 trajectory execution validated on hardware.”

RoboticsAutomationROS 2Computer VisionOpenCVObject Detection+118
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AM

Anandita Maurya

Screened

Mid-level Marketing Analytics & Growth Specialist in performance marketing

Sydney, Australia5y exp
Compound GrowthNortheastern University

“Paid media specialist with nonprofit/fundraising experience at Keelworks Foundation, running high-spend acquisition across Google, Meta, and LinkedIn (and familiar with TikTok). Uses CRM-driven funnel segmentation and disciplined A/B testing across ads, landing pages, and email flows; has recovered stalled performance and delivered ~10% donation growth while tracking deep donor-quality KPIs (lead-to-donor, retention, avg gift).”

A/B TestingAutomationCanvaCRMData AnalyticsDigital Marketing+100
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TS

Teja Sankara

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native SaaS

4y exp
Elevance HealthUniversity of Texas at Arlington

“Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.”

AgileAJAXAlgorithmsAmazon CloudWatchAngularApache Kafka+180
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JH

Joseph Hanna

Screened

Executive IT Leader specializing in digital transformation, cloud infrastructure, and cybersecurity

Irvine, CA20y exp
Safeway Tax ReliefInternational Business School of Scandinavia

“IT/technology leader (mentions VP of IT) with experience modernizing legacy environments, implementing ERP and dashboarding, and migrating on-prem infrastructure to Microsoft Azure to support remote operations. Has worked in a context described as an acquired company and focused on scaling via automation, analytics, and cross-functional alignment with marketing around lead-generation metrics.”

AutomationAWSBudget ManagementC#Change ManagementCompliance+87
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AS

Atharva Sardar

Screened

Junior AI/Software Engineer specializing in LLM agents, RAG, and full-stack ML systems

Austin, TX2y exp
Gauntlet AIVirginia Tech

“Backend engineer who built an Emergency Alert System with Virginia Tech for the City of Alexandria, focusing on real-time ingestion, secure dashboards, and AI-assisted prioritization. Emphasizes high-stakes reliability with guardrails (hybrid rules+LLM, confidence-based fallbacks), scalable async processing, and defense-in-depth security (JWT/RBAC plus database row-level security).”

A/B TestingAgileAPI GatewayAutomationBashC+153
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CF

Cody Feda

Screened

Principal Full-Stack Engineering Leader specializing in forward-deployed SaaS platforms

San Francisco, CA14y exp
OSS4AIUniversity of Utah

“Hands-on builder and workshop facilitator focused on getting LLM/agentic and dev-tools products from prototype to production. Has delivered iterative production deployments for a construction client (estimating/invoicing on EC2), debugs LLM regressions with monitoring plus prompt optimization, and has facilitated multiple developer workshops while helping founders improve onboarding and time-to-first-success using tools like PostHog.”

PythonTypeScriptReactSQL.NETREST APIs+43
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MM

Muhammad Mughees Amjad

Screened

Senior SEO Manager specializing in technical SEO, analytics, and GEO

Neumarkt, Germany7y exp
BionoricaCOMSATS University Islamabad

“Paid media performance marketer managing $50K+/month spend across Meta and Google for eCommerce and lead-gen, with a strong creative-testing orientation (UGC/video vs static) that produced ~25–30% lower CPA and ~35% higher ROAS when scaled. Builds full-funnel systems across Meta/TikTok (demand gen) and Google Search/PMax (high-intent capture), using marginal ROAS/CPA, frequency-based fatigue signals, and statistically grounded testing to scale or cut campaigns.”

SEOContent StrategyStakeholder ManagementVendor ManagementRisk ManagementData Analytics+136
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CS

Corey Solomon

Screened

Senior Growth & Partnerships Leader specializing in implementations, adoption, and revenue operations

Vancouver, Canada11y exp
Public Speaking LabBritish Columbia Institute of Technology

“Cross-industry partnerships and GTM operator with experience spanning environmental consulting (hazardous waste abatement/emergency services), employee transportation programs (Best Buy shuttle partnership), and a dance business (product add-on sales). Demonstrates practical negotiation using cost/usage ratios and strong network-driven business development (secured a competitive conference speaking slot via referral).”

Change ManagementNegotiationOnboardingAutomationCoachingTraining+38
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YP

Yash Prakashbhai Shah

Screened

Senior Backend Software Engineer specializing in Java, microservices, and cloud infrastructure

Santa Clara, CA6y exp
AryakaSan Diego State University

“Backend/platform engineer at Aryaka Networks who built a centralized resiliency and security Spring Boot library to standardize Keycloak RBAC and fault-tolerance across 25+ Kubernetes-migrated microservices. Uses profiling and observability (Prometheus/Grafana) to drive measurable performance and reliability gains (25% faster APIs, 70% faster environment setup) and accelerates adoption via golden-path starter repos and Swagger/OpenAPI live docs.”

JavaSpring BootPythonC++C#JavaScript+76
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RL

Ralph Lewis

Screened

Executive CTO/Founder specializing in distributed systems, AI control platforms, and energy/crypto infrastructure

Remote, U.S.10y exp
NERV SYSTEMSPepperdine University

“Founder/CTO-type candidate with deep exposure to the VC/accelerator ecosystem (Open Angel Forum; HAX/SOSV) and a track record of raising capital, including a $1M seed round in 2017. Built ventures spanning IoT wearable/HUD SaaS for industrial hygiene monitoring and institutional Bitcoin mining/distributed compute infrastructure, and ran a venture from 2017–2025.”

Distributed SystemsNode.jsPythonGoBigQueryEvent-Driven Architecture+95
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CV

Christopher Velasco Chua

Screened

Director-level Client Account Management leader specializing in retail digital promotions

San Francisco, CA8y exp
InmarSan José State University

“MarTech-focused enterprise CSM/strategic account leader with 7 years advising enterprise retailers, specializing in discovery-to-conversion workflows and API-driven integrations. Demonstrated ability to turn transactional vendor relationships into strategic partnerships using Tableau/Looker insights, cross-functional execution with Product/Engineering, and measurable outcomes (25% revenue lift, 15% YoY growth, 35% faster deployments) that support renewals and expansion.”

Account ManagementCross-Functional CollaborationGenerative AIGoogle WorkspaceJiraMicrosoft Office+47
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HU

Hammad Ur Rahman

Screened

Senior DevOps Engineer specializing in cloud infrastructure and CI/CD

Boston, Massachusetts11y exp
PicselloCOMSATS University Islamabad

“IBM Power/AIX engineer who has owned a 150+ LPAR AIX 7.x estate with VIOS/HMC/vHMC and PowerHA in production, including real outage and failover recoveries. Also brings modern DevOps/IaC experience—built Jenkins pipelines deploying to AKS and implemented Terraform on AWS with remote state, locking, and drift management.”

Tailwind CSSJavaScriptTypeScriptAngularBashPython+139
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AN

Anar Nurizada

Screened

Mid-level Robotics Engineer specializing in simulation-to-real ML control

Brooklyn, NY5y exp
DL-RLStony Brook University

“Robotics/ML engineer who benchmarks and adapts open-source robot action models, building synthetic datasets in Isaac Sim and modifying vendor code to scale training across multiple GPUs. Also built a production-style computer vision pipeline at Zortag—training a tiny YOLO-based classifier for fake-vs-real label detection and deploying it in a real-time iOS app with additional display/spoof detection.”

RoboticsMachine LearningDeep LearningReinforcement LearningTransformersComputer Vision+157
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DH

Dallas Heliker

Screened

Executive CTO / Full-Stack Web Developer specializing in digital marketing platforms and fraud mitigation

Stockton, CA22y exp
Deniro MarketingUC Santa Barbara

“Engineering leader who modernized infrastructure by migrating a ~100-server co-location setup to AWS/GCP with IaC, auto-scaling, and fault-tolerant design, reducing hardware upgrade burden. Also led a key analytics architecture shift from MySQL to ClickHouse to enable highly granular ad revenue attribution and profitability insights, while scaling the dev org from 2–3 to ~12 with stronger CI/testing and review processes.”

Project ManagementFraud DetectionGitVersion ControlCode ReviewCI/CD+134
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SD

Siddhesh Dhavale

Screened

Mid-level Customer Success Engineer specializing in SaaS platform support and API integrations

California, USA5y exp
IpserLabNortheastern University

“Security-focused engineer/customer-facing technical lead with SaaS platform experience at Ipsilon Lab, advising customers on API security and secure SDLC improvements. Has implemented production AppSec tooling (SAST/SCA), designed AWS least-privilege agent/scanning deployments, and led Kubernetes CI/CD security-agent integrations with Secrets Manager and PR gating. Strong track record troubleshooting complex customer integrations end-to-end (logs/metrics/traces through DB execution plans) and driving measurable stability/security posture improvements.”

Log AnalysisSQLPostgreSQLData ValidationREST APIsPostman+89
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NP

NagaLakshmiKedareswari Parchuri

Screened

Mid-level DevOps & Cloud Engineer specializing in multi-cloud reliability and automation

Remote6y exp
Axitem Software SolutionUniversity of North Texas

“Cloud/infrastructure engineer with strong production operations background across AWS, Azure, and Kubernetes, supporting 30+ enterprise workloads for ~40,000 users. Demonstrated incident leadership (hybrid AKS-to-AWS routing outage) with a reported 60% MTTR reduction, plus hands-on CI/CD (Jenkins) and Terraform-based IaC for AWS (VPC/EC2/EKS). Lacks direct IBM Power/AIX/PowerHA experience but emphasizes transferable ops and troubleshooting skills.”

AWSAmazon EC2AWS LambdaAmazon S3Amazon CloudWatchAmazon RDS+117
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PA

Priyansh Aggarwal

Screened

Junior Software Engineer specializing in AI/ML and full-stack web development

Panchkula, India2y exp
CloudNationThe NorthCap University

“Built core perception and decision layers for a 3D AI-powered interactive avatar/agent with a robotics-like perception–reasoning–action loop, combining computer vision, NLP, and real-time response. Focused on making multimodal inputs robust (normalization, intent + emotion signal fusion) and improving real-time performance via instrumentation, profiling, and parallelization; also designed distributed, loosely coupled state-based communication and deployed services with Docker.”

PythonJavaC++MySQLGitHubGit+71
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UK

Uday Kumar Surabhi

Screened

Senior Site Reliability Engineer specializing in cloud observability and incident response

CA, USA6y exp
Pyramid ConsultingUniversity of North Texas

“Backend engineer experienced in evolving high-scale legacy on-prem systems into cloud-native, event-driven microservices on AWS/Kubernetes (noted peak traffic ~1.5M QPS). Strong focus on reliability engineering and operational excellence—SLO-driven observability, GitOps/canary rollouts, chaos testing, and preventing cascading failures (e.g., retry-storm mitigation).”

Site Reliability EngineeringObservabilityDevOpsIncident ResponseChange ManagementAutomation+153
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AG

Ankan Ghosh

Screened

Mid-level CRM & Lifecycle Marketing Manager specializing in DTC/eCommerce engagement

New York, NY6y exp
DatazoicSUNY

“Lifecycle/CRM marketer at Datazoic who builds post-onboarding activation and retention programs end-to-end, partnering with Analytics for behavioral segmentation and running rigorous A/B tests across messaging, timing, and CTAs. Also orchestrates cross-functional product feature rollouts (Product/Creative/Analytics) to align customer messaging with in-product experience, driving high engagement and fewer customer inquiries.”

Email MarketingA/B TestingCross-Functional CollaborationDocumentationStrategic PlanningProject Management+62
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HS

Hemanth Suddala

Screened

Mid-level GenAI Engineer specializing in LLM automation, RAG, and document intelligence

Boca Raton, FL3y exp
Florida Atlantic UniversityFlorida Atlantic University

“Built and deployed a production GenAI resume screening and matching system for Florida Atlantic University, focused on improving recruiter efficiency and search relevance. Demonstrates strong RAG engineering (embeddings, query rewriting, metadata filtering, threshold tuning) plus practical reliability work (grounding constraints, fallbacks, and evaluation using real user queries) using Python REST APIs and orchestration frameworks like LangChain and LlamaIndex.”

PythonSQLPandasNumPyPrompt EngineeringRetrieval-Augmented Generation (RAG)+52
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VK

Vinesh Krishna Anne

Screened

Junior Robotics Engineer specializing in computer vision and mobile manipulation

Bozeman, MT2y exp
Streamline RoboticsNortheastern University

“Founding Robotics Research Engineer at Streamline Robotics building precision-agriculture automation: integrated FANUC + PLC harvesting with a Farm-ng Amiga (Jetson) platform using ROS2 Visual SLAM for GPS-free greenhouse navigation. Developed real-time YOLOv8 tomato detection/ripeness estimation for selective harvest and configured Cognex D900 3D inspection, plus redesigned FarmBot Genesis XL and built an automated imaging/labeling pipeline for growth tracking and adaptive watering.”

AutomationComputer VisionCUDADeep LearningGazeboGit+128
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MK

Mihir Kulkarni

Screened

Junior Mechatronics Engineer specializing in robotics and industrial automation

Ahmedabad, India1y exp
DanfossVellore Institute of Technology

“Robotics software engineer with competition experience (eYantra agricultural automation) building a simulated drone workflow in Gazebo to detect strawberry boxes via YOLO, pick them with a custom gripper, and autonomously navigate/stack at a truck destination. Strong in ROS2/PX4/Nav2 integration, real-time control debugging (IMU filtering + PID tuning), and planner parameter optimization validated through RViz and log-driven testing.”

Project ManagementDocumentationMicrosoft OfficeAutomationRoboticsTroubleshooting+47
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HP

hetvi patel

Screened

Mid-level Software/Data Engineer specializing in cloud ETL pipelines and data infrastructure

New Jersey5y exp
Plore AIAvila University

“Backend/data engineer who built a production analytics data service (Python/FastAPI on AWS/Postgres with PySpark ETL) handling millions of records per day and drove major latency improvements (10–15s to <2s) via indexing, Redis caching, and shifting aggregations into ETL. Also shipped an LLM-based natural-language-to-SQL assistant end-to-end with strong guardrails (schema restrictions, read-only validation, RBAC, masking) and designed a multi-step agent workflow with verification and fallback logic.”

AgileAngularAPI DesignApache HadoopApache SparkAutomation+128
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RA

Rzwan Aziz

Screened

Senior Infrastructure Engineer and Linux System Administrator specializing in hybrid data centers

Fremont, CA11y exp
Blood Orange Interactive

“Infrastructure/lab engineering professional who builds and troubleshoots production-grade LLM/agentic automation (n8n + MCP) with strong security isolation and human-in-the-loop CI/CD tied to Jira/PR workflows. Also partnered with business units at GlobalLogic to enable customer adoption by standing up and tuning Big Data PoC environments (Cisco UCS + Cloudera Hadoop) for high-confidence demos.”

AnsibleAWSAutomationBashContainerizationDocker+105
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